Lead Data Engineer
Senior Data Engineer with 6 years of experience in AWS, Azure, and Databricks, building scalable ETL and streaming pipelines for analytics and operational systems across large enterprises.
Currently focused on Data Engineering, Data and AI Governance, designing and delivering end-to-end governance frameworks on Databricks Unity Catalog covering data quality, observability, PII protection, metadata management, and access control.
Skilled in PySpark, EMR, Glue, Lambda, Step Functions, Airflow, and Databricks for orchestrating batch and real-time data workflows following Data Mesh and Lakehouse principles. Proficient in Snowflake, Redshift, and SQL-based data modeling to support reliable, high-performance data platforms.
Passionate about turning governance from concept into running code, enabling teams through data quality frameworks, observability pipelines, and modern data architecture.
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